WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2026 North America • Sep 26, 2026 • Session details

Point. Ask. Answer. Building Vision into AI on Constrained Hardware

Kavya Sri Chennoju

Build a privacy-first smart camera that processes visual data entirely on the edge. Discover how to deploy a 4-billion-parameter vision-language model locally on an 8GB Raspberry Pi.

Point. Ask. Answer. Building Vision into AI on Constrained Hardware thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

7:00 min

Evaluating on-device data privacy, model performance, and cross-platform alternatives

Milan Todorovic · World Congress 2021

3:58 min

Controlling hardware cameras and analyzing visual frames

Marc Rousavy Marc Rousavy · World Congress 2025

51 sec

Overcoming inefficiencies in computer vision modeling

Antonio Tavera Antonio Tavera · World Congress 2025

4:08 min

Enabling edge intelligence with small language models

Sasha Denisov Sasha Denisov +1 · World Congress 2026 Europe

2:12 min

Distilling cloud AI capabilities into local device models

3:37 min

Hardware evolution from local inference to physical artificial intelligence

Vini Senger Vini Senger · World Congress 2026 North America

More from World Congress 2026 North America

2026 in LLMs (so far) thumbnail
31:31
25 days ago

2026 in LLMs (so far)

Simon Willison

Running Operations Without Humans in the Loop thumbnail
32:31
25 days ago

Running Operations Without Humans in the Loop

Edward Aryee, Ryan Ries, Yaron Schneider, Chris Hallenbeck, Floriane Gramlich

Beyond the Code: Human-AI Synergies in Product Development thumbnail
17:43
25 days ago

Beyond the Code: Human-AI Synergies in Product Development

Ajita Kanchivakam Ananth

Honey, look! I vibe-coded an OS! thumbnail
30:40
25 days ago

Honey, look! I vibe-coded an OS!

Ian Smith

The Productivity Illusion: What AI Really Changed for Developers thumbnail
24:28
25 days ago

The Productivity Illusion: What AI Really Changed for Developers

Fatih Kadir Akın

Your Evals Passed. Your Agent Just Emptied a Database. thumbnail
21:37
25 days ago

Your Evals Passed. Your Agent Just Emptied a Database.

Tejas Pravinbhai Patel

Upcoming sessions on this topic

Open session

How 8 GPUs Became 16: Rethinking LLM Inference Through Parallelism, Memory, and Runtime Design

  • Purnima Kumari

    DigitalOCean

    Sr. Solutions Architect II

Open session

Build a Zero-Cost AI Agent in Your Browser

  • Aishwarya Mathuria

    Adobe

    Computer Scientist

  • Nishant Thakur

    Adobe

    Senior Computer Scientist

Open session

Building World-Aware Physical AI with Agent Memory and Context Graphs

  • Vasundhara Shukla

    Neo4j

    Developer Advocate

  • Zaid Zaim

    Neo4j

    Developer Advocate | Microsoft AI MVP

Open session

Architecting Trusted AI: Coupling Multi-Agent Systems with dbt Semantic Store for Zero-Hallucination

  • Pushkar Mishra

    J.P. Morgan

    Senior Vice President

Open session

Teaching AI Coding Agents to Build It Right the First Time

  • Sajeetharan Sinnathurai

    Microsoft

    Principal Product Manager

Open session

ULTRON: Your Agent Has No Hands - Real-Time Voice, MCP, and Ten Phones on Stage

  • Sagar Tamang

    Two Spoon Technologies

    AI Engineer

Related videos

Edge AI on iOS: Beyond the Cloud, Designing the Next Generation of Intelligent On-Device Apps thumbnail
26:30
World Congress 2026 Europe • 3 months ago

Edge AI on iOS: Beyond the Cloud, Designing the Next Generation of Intelligent On-Device Apps

Precious Osaro

The Retrieval Layer for Edge AI thumbnail
28:37
World Congress 2026 Europe • 3 months ago

The Retrieval Layer for Edge AI

Sasha Denisov, Chadha Sridi

Anatomy of an AI Request: Where Latency and Cost Are Really Born thumbnail
28:01
World Congress 2026 North America • 26 days ago

Anatomy of an AI Request: Where Latency and Cost Are Really Born

Dan Fu

The State of Local AI in 2026 thumbnail
26:39
World Congress 2026 North America • 25 days ago

The State of Local AI in 2026

Kirah Sapong

Fast, Cheap, and Accurate: Optimizing LLM Inference with vLLM and Quantization thumbnail
26:27
World Congress 2026 North America • 26 days ago

Fast, Cheap, and Accurate: Optimizing LLM Inference with vLLM and Quantization

Legare Kerrison, Cedric Clyburn

From ML to LLM: On-device AI in the Browser thumbnail
27:23
LIVE • almost 2 years ago

From ML to LLM: On-device AI in the Browser

Nico Martin

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.